Starboard

Vorssaint is a free, open-source Swift/SwiftUI macOS menu bar toolkit that combines utilities including per-application volume and audio controls, output and microphone switching, system monitoring, network statistics, app and window switching, window snapping, Dock previews, clipboard history, text snippets, file staging, screen capture, display and energy controls, media tools, cleaning, and app removal. It is modular: users can install or remove complete features, with removed features stopping loading while retaining their settings for later reinstallation. The toolkit also provides configurable shortcuts, panels, a command bar, and optional bundles for common setups. Vorssaint runs locally without an account, analytics, tracking, subscription, or required network service; its volume mixer requires no audio driver or setup, and selected features request only the relevant macOS permissions, including accessibility, screen recording, audio recording, microphone, camera, calendars, notifications, and disk access.

StarNet is a local-first desktop harness for creating and running AI agents inside a pixel-art space station. The station layout represents the workflow: rooms define capability-scoped teams, hallways authorize handoffs, and placed objects grant capabilities. Each agent run uses its own workspace, transcript, memory, and bounded permissions, while the station reflects runtime state rather than simulating activity. The harness streams model calls through a local Node sidecar and applies explicit capability and consent checks to tool use. It supports OpenRouter and provider sign-ins for Anthropic, OpenAI, and Google, as well as local models through Ollama. Agents can run concurrently, connect to Telegram, Discord, Slack, Signal, and Matrix, use MCP servers and other connectors, launch recipes and reusable skills, run on schedules, and deliver files through an OUTBOX. Spend, budgets, tasks, schedules, transcripts, and memory persist in the local StarNet workspace; provider requests leave the machine when an agent runs, while secrets are held by the sidecar or operating-system keychain rather than the frontend. StarNet is distributed as a desktop application for Windows and macOS, with Windows identified as the most-tested target. It is also runnable from source with Node.js, and its code is available under the MIT License. The StarNet name, logo, artwork, sprites, and other brand identity are not covered by that license.

Keel is a local-first native macOS coding workspace that runs coding agents through a Rust/GPUI application. It combines sessions, a composer, transcripts, a terminal, change inspection, settings, Git history, crash recovery, and an agent graph showing active agents, subagents, and files as shared context; agents can be steered or stopped from the graph. It connects Claude Code, Codex, Cursor, Grok, Hermes, and pi through the Agent Client Protocol, and also includes an embedded DeepSeek agent loop with host-enforced tool focus. For unpinned tasks, a local Laya selector running through Core ML or an optional hosted Jev selector chooses among host-prepared routes or abstains. Keel validates each choice before applying it, falls back to the ordinary route when a choice is rejected, stale, or expired, and records candidates, validation, fallback, and observed outcome in bounded decision receipts. Decision receipts can be exported as JSONL and summarized with CLI reports. Keel also provides headless and daemon modes, while each coding provider retains its own authentication, model configuration, and tool loop. The repository supports Apple Silicon and macOS 15 or later for the packaged Laya model. It can be built from source, but the repository does not currently publish downloadable app releases; packaged builds are ad hoc signed development builds. Automatic training, public installer distribution, cloud sync, and native Codex realtime voice are not implemented or included in this build.